Difference between revisions of "HomeIntel"

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== Background Survey ==
 
== Background Survey ==
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Our team did background research on the topic before creating the storyboards. It will expose us to the different types of charts and graphs that we can use for the project and consider how we can make it better. Some of the visualisations that we draw inspiration from are as follows:
  
 
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Revision as of 03:25, 13 October 2019

Logo home.png


Team

 

Proposal

 

Poster

 

Application

 

Research Paper


<--- Go Back to Project Groups

Problem and Motivation

Objectives

Selected Dataset

The Data Sets we will be using for our analysis and for our application is listed below:

Dataset/Source Data Attributes Rationale of Usage

Resale Flat Price (Jan 2015 - Aug 2019)
(https://data.gov.sg/dataset/resale-flat-prices?resource_id=42ff9cfe-abe5-4b54-beda-c88f9bb438ee)

  • Month
  • Town
  • Flat type
  • Block
  • Street Name
  • Storey range
  • Floor Area sqm
  • Flat Model
  • Lease Commence Date
  • Remaining Lease
  • Resale Price

This dataset will be used to understand the resale transacted price and see the price trend change over year.

Background Survey

Our team did background research on the topic before creating the storyboards. It will expose us to the different types of charts and graphs that we can use for the project and consider how we can make it better. Some of the visualisations that we draw inspiration from are as follows:

Visual Considerations Insights / Comments

Title: Sunburst Diagram

Sunburst.png

Source:https://bl.ocks.org/mbostock/4348373

  • Pros:
    • Aims to show various sub-components of a particular category
    • Can drill down to multiple divisions to observe the distribution by percentages
    • May be useful to analyze tourism receipts by components and country
  • Cons:
    • Difficult to break down the huge number of markets
    • Does not provide a comprehensive time-series comparison

Title: Treemap

Source:https://www.theinformationlab.co.uk/2015/02/10/show-treemaps/

  • Pros:
    • Effective visualisation to organise multivariate data by hierarchy
    • We can effectively see the purpose of visit for the top 10 visiting countries to Korea.


  • Cons:
    • It would be hard to compare between years and months for different countries.
    • The hierarchy will only be 2 levels so the interaction would not be as much.

Title: Chord Diagram

Source:https://beta.observablehq.com/@mbostock/d3-chord-diagram

  • Pros:
    • Effective visualisation to see the influx of Visitors from and to Korea.
    • We will be able to easily spot the country with the most travelers to Korea.


  • Cons:
    • This chart will make it harder to spot trends in the visiting pattern.
    • We will not be able to see every single country as the size of the chord diagram is limited.

Brainstorming Sessions

Proposed Storyboard

Tools and Technologies Used

Challenges

Timeline

Comments